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Journal articles on the topic 'Human Error Probability'

Author: Grafiati

Published: 28 June 2021

Last updated: 20 February 2023

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1

Taylor-Adams, Sally E. "CORE-DATA, A Human Error Probability Database." Safety and Reliability 13, no. 4 (1993): 6–16. http://dx.doi.org/10.1080/09617353.1993.11690625.

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2

Basra, Gurpreet, and Barry Kirwan. "Collection of offshore human error probability data." Reliability Engineering & System Safety 61, no. 1-2 (1998): 77–93. http://dx.doi.org/10.1016/s0951-8320(97)00064-1.

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3

Liu, Zhao Xia, and Lian Jun Chen. "Post-Accident Human Reliability Analysis and Control of Mine Hoisting System." Advanced Materials Research 616-618 (December 2012): 461–64. http://dx.doi.org/10.4028/www.scientific.net/amr.616-618.461.

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Using the method of THERPand HCR this paper studies post- accident human error events of mine hoisting system which reflects accident consequence seriousness and accident treatment urgency. It ascertains cognitive failure probability P1, non-response probability P2 and the failure probability P3, and quantities and appraises degree of human reliability. Finally this paper analyzes causes of hoisting accident human errors ,by which probability human error can be reduced to the lowest limit.

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4

Xi, Yong Tao, and Chong Guo. "A Method for Marine Human Error Probability Estimate: APJE-SLIM." Applied Mechanics and Materials 97-98 (September 2011): 825–30. http://dx.doi.org/10.4028/www.scientific.net/amm.97-98.825.

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Safety is the eternal theme in shipping industry. Research shows that human error is the main reason of maritime accidents. Therefore, it is very necessary to research marine human errors, to discuss the contexts which caused human errors and how the contexts effect human behavior. Based on the detailed investigation of human errors in collision avoidance behavior which is the most key mission in navigation and the Performance Shaping Factors (PSFs), human reliability of mariners in collision avoidance was analyzed by using the integration of APJE and SLIM. Result shows that this combined meth

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5

Yang, Wei Jun, and Peng Xiao Jiang. "The Probability Analysis of Human Error in Teaching." Applied Mechanics and Materials 239-240 (December 2012): 1611–14. http://dx.doi.org/10.4028/www.scientific.net/amm.239-240.1611.

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This paper thoroughly analyzed the human error in teaching work of colleges and universities, discussed its causes, mode and consequences, proposed the probability analysis methods. The analysis can be treated as a reference to prevent, control and management human error in teaching work for colleges and universities.

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6

Visser, M., and P. A. Wieringa. "PREHEP: human error probability based process unit selection." IEEE Transactions on Systems, Man and Cybernetics, Part C (Applications and Reviews) 31, no. 1 (2001): 1–15. http://dx.doi.org/10.1109/5326.923264.

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7

Sun, Zhiqiang, Zhengyi Li, Erling Gong, and Hongwei Xie. "Estimating Human Error Probability using a modified CREAM." Reliability Engineering & System Safety 100 (April 2012): 28–32. http://dx.doi.org/10.1016/j.ress.2011.12.017.

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8

Di Pasquale, Valentina, Salvatore Miranda, Raffaele Iannone, and Stefano Riemma. "A Simulator for Human Error Probability Analysis (SHERPA)." Reliability Engineering & System Safety 139 (July 2015): 17–32. http://dx.doi.org/10.1016/j.ress.2015.02.003.

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De Felice, F., A. Petrillo, and F. Zomparelli. "A Hybrid Model for Human Error Probability Analysis." IFAC-PapersOnLine 49, no. 12 (2016): 1673–78. http://dx.doi.org/10.1016/j.ifacol.2016.07.821.

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10

Sun, Zhiqiang, Erling Gong, Zhengyi Li, Yingjie Jiang, and Hongwei Xie. "Bayesian estimator of human error probability based on human performance data." Journal of Systems Engineering and Electronics 24, no. 2 (2013): 242–49. http://dx.doi.org/10.1109/jsee.2013.00031.

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11

Guglielmi, Dina, Alessio Paolucci, Valerio Cozzani, Marco Giovanni Mariani, Luca Pietrantoni, and Federico Fraboni. "Integrating Human Barriers in Human Reliability Analysis: A New Model for the Energy Sector." International Journal of Environmental Research and Public Health 19, no. 5 (2022): 2797. http://dx.doi.org/10.3390/ijerph19052797.

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Human reliability analysis (HRA) is a major concern for organizations. While various tools, methods, and instruments have been developed by the scientific community to assess human error probability, few of them actually consider human factors impact in their analysis. The active role that workers have in shaping their own performance should be taken into account in order to understand the causal factors that may lead to errors while performing a task and identifying which human factors may prevent errors from occurring. In line with this purpose, the aim of this study is to present a new meth

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12

Facchini, Francesco, Salvatore Digiesi, and Giovanni Mummolo. "Model of Human Error Probability based on dual-phase approach for learning process in cognitive-oriented tasks." International Journal of Industrial Engineering and Management 11, no. 1 (2020): 31–39. http://dx.doi.org/10.24867/ijiem-2020-1-250.

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13

Poluyan, L. V., and M. G. Malukova. "Assessing functions of human risk, reliability and error probability." IOP Conference Series: Materials Science and Engineering 962 (November 18, 2020): 042055. http://dx.doi.org/10.1088/1757-899x/962/4/042055.

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14

Böllhoff, Jörg, Joachim Metternich, Nicholas Frick, and Matthias Kruczek. "Evaluation of the Human Error Probability in Cellular Manufacturing." Procedia CIRP 55 (2016): 218–23. http://dx.doi.org/10.1016/j.procir.2016.07.080.

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15

Ung, Shuen-Tai, and Wei-Min Shen. "A Novel Human Error Probability Assessment Using Fuzzy Modeling." Risk Analysis 31, no. 5 (2010): 745–57. http://dx.doi.org/10.1111/j.1539-6924.2010.01536.x.

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16

Zimolong, Bernhard, and Barbara Stolte. "A Study of Expert Judgment on Human Error Probability." Proceedings of the Human Factors Society Annual Meeting 32, no. 15 (1988): 954–57. http://dx.doi.org/10.1518/107118188786761938.

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An experiment was conducted to derive empirically human error probabilities from a task performed under 12 different conditions. The task was to control a simulated flexible manufacturing scenario (FMS) under three Performance Shaping Factors (PSF): Incentive, workload and event frequency of breakdowns. Six experts with background in human factors assess the relative contribution of each PSF in affecting the likelihood of failure with the multi attribute decomposition technique. The conversion of the assessment values to probabilities was achieved by the use of an empirically derived calibrati

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17

Liu, Shang Hai, Bao Fa Liu, and Xian Tao Liu. "A Status Evaluation Model of Human Errors Probability in Petroleum Operations." Applied Mechanics and Materials 416-417 (September 2013): 2078–82. http://dx.doi.org/10.4028/www.scientific.net/amm.416-417.2078.

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The accident happens sometimes in the oil industry and that the Human errors (HEs) are studied and used in the petroleum field is fewer. Then, the paper analyzes the early achievements and finds that most of the studies are aimed at the operation behavior but not the operator. So, using probability theory, the paper discusses the HE Causes and the relationship between human behavior and the accident, and it presents the error state evaluation model of organization and the evaluation model of the number of operators doing Error. According to the evaluation models, the management can get the ris

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18

Buchatskyi, L. P. "DETERMINING PROBABILITY OF CANCER CELL TRANSFOMATION AT HUMAN PAPILLOMAVIRUS INFECTION." Biotechnologia Acta 14, no. 5 (2021): 74–83. http://dx.doi.org/10.15407/biotech14.05.074.

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Aim. The purpose of the work was to assess the probability of cancerous transformation of cells for viruses of high and low oncogenic risk. Aim. The purpose of the work was to assess the probability of cancerous transformation of cells for viruses of high and low oncogenic risk. Results. Using normalized squared error (NSE) for viruses of high (20 strains) and low (153 strains) oncogenic risk, rank statistic of 2-exponential type was build. For productive papillomavirus infection, NSE function was determined as the growing accurate 2-exponent of a cell layer basal to the epithelial surface. Lo

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Janota, Aleš, Rastislav Pirník, Juraj Ždánsky, and Peter Nagy. "Human Factor Analysis of the Railway Traffic Operators." Machines 10, no. 9 (2022): 820. http://dx.doi.org/10.3390/machines10090820.

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The human factor is an essential aspect of the operability and safety of many technical systems. This paper focuses on the analysis of human errors in the railway domain. The subject of human reliability analysis is the behavior of operators of station-signaling systems responsible for rail traffic management. We use a technique for human-error rate prediction as the 1st generation human reliability analysis to deal with task analyses, error identification and representation, and the quantification of human error probabilities. The paper contributes to the comparison of three technologically d

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Bakhtiar, Bakhtiar, Syukriah Syukriah, and Muhammad Iqbal. "Measurement of Human Work Reliability Using Systematic Human Error Reduction and Prediction Approach and Human Error Assessment and Reduction Technique Method." International Journal of Engineering, Science and Information Technology 2, no. 1 (2022): 158–66. http://dx.doi.org/10.52088/ijesty.v2i1.244.

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CV. Raja Hati is a company that is engaged in the process of refinishing tires that have been bald into new ones. The tire retreading process has a relatively high percentage of defects, such as 14.8% Printing Process, 12.3% Surface Leveling, 8.6% Tire Curing, and so on. The problems in this study are the factors that cause defects in terms of human aspects, the types of errors that most often occur in the production process, and the value of human error probability (HEP) in the production process at CV. Raja Hati. This study aims to determine the factors that cause defects in terms of human a

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21

Rammadaniya, Putri, and Nina Mahbubah. "Integration of the HEART and SHERPA Approach to Evaluating Human Errors in the Refinery Salt Production." Jurnal Sistem Teknik Industri 24, no. 2 (2022): 177–93. http://dx.doi.org/10.32734/jsti.v24i2.7755.

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Human error can be prevented by measuring human reliability through the Human Reliability Assessment approach. PT A is a national scale salt producer that produces salt. The quality division identifies human error problems made by operators in the salt refining process. This study aims to identify, calculate probability values, and provide recommendations for improvement to reduce human error in salt refining production operators. HEART and SHERPA are research approaches used because they are considered the most suitable for this study. The results showed that the most visible human error for

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22

Islam, Rabiul, Faisal Khan, Rouzbeh Abbassi, and Vikram Garaniya. "Human Error Probability Assessment During Maintenance Activities of Marine Systems." Safety and Health at Work 9, no. 1 (2018): 42–52. http://dx.doi.org/10.1016/j.shaw.2017.06.008.

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23

Du, Yu, Michael Dorneich, Brian Steward, and Cameron A. MacKenzie. "A Bayesian-Influence Model for Error Probability Analysis of Combine Operations in Harvesting." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 60, no. 1 (2016): 1414–18. http://dx.doi.org/10.1177/1541931213601325.

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Harvesting is one of the most important agricultural operations because it captures the value from the entire cropping season. In modern agriculture, grain harvesting has been mechanized through the combine harvester. A combine harvester enables highly productive crop harvesting. Combine harvesting performance depends on the highly variable skill of combine operators and associated operator error. An approach was developed to analyze the risk of the combine harvesting operation as it relates to operator error. Specifically, a risk analysis model was built based on a task analysis from operator

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24

Pan, Xing, and Zekun Wu. "Performance shaping factors in the human error probability modification of human reliability analysis." International Journal of Occupational Safety and Ergonomics 26, no. 3 (2018): 538–50. http://dx.doi.org/10.1080/10803548.2018.1498655.

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25

Borisov, V. E., V. V. Borsoeva, S. M. Stepanov, and A. I. Stepnova. "THE PROBABILITY DETERMINATION OF ERROR-FREE AIR TRAFFIC CONTROLLER OPERATION." Civil Aviation High TECHNOLOGIES 21, no. 3 (2018): 47–55. http://dx.doi.org/10.26467/2079-0619-2018-21-3-47-55.

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Human error is considered to be a cause or one of the main factors in most accidents. Errors are not a certain type of deviation in behaviour; they are a natural product of all human efforts. Errors must be accepted as a normal component of any system, in which humans and technology interact. In aviation for decades since 1960-ies the share of the human factor (HF) from the total number of aviation accident reasons is estimated by the constant growth from 40–50 to 80–90% [1]. This figure refers generally to the certified flight personnel of commercial aviation. Taking into account flights of G

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26

Wu, Yaju, Kaili Xu, Ruojun Wang, and Xiaohu Xu. "Human reliability analysis of high-temperature molten metal operation based on fuzzy CREAM and Bayesian network." PLOS ONE 16, no. 8 (2021): e0254861. http://dx.doi.org/10.1371/journal.pone.0254861.

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Human errors are considered to be the main causation factors of high-temperature molten metal accidents in metallurgical enterprises. The complex working environment of high- temperature molten metal in metallurgical enterprises has an important influence on the reliability of human behavior. A review of current human reliability techniques confirms that there is a lack of quantitative analysis of human errors in high-temperature molten metal operating environments. In this paper, a model was proposed to support the human reliability analysis of high-temperature molten metal operation in the m

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27

Ngatilah, Yustina, Endang Pudji W, Rr Rochmoeljati, and Tranggono Tranggono. "ANALISA HUMAN ERROR PADA KARYAWAN PRODUKSI BARECORE MENGGUNAKAN METODE HUMAN RELIABILITY ASSESSMENT (HRA)." Tekmapro : Journal of Industrial Engineering and Management 14, no. 1 (2019): 7–16. http://dx.doi.org/10.33005/tekmapro.v14i1.24.

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Seluruh industri pasti memiliki keinginan untuk memiliki zero accident. Namun pada kenyataannya banyak perusahaan yang memiliki angka kecelakaan yang tinggi tiap tahunnya. Human Reliability Assessment merupakan salah satu metode untuk memberi usulan alternatif pengurangan terhadap kecelakaan kerja yang terjadi. Dimana langkah yang digunakan yakni mengumpulkan data kecelakaan kerja,data Task Analysis Sistem dan data identifikasi kegagalan. Pengolahan yang dilakukan yakni dengan penggambaran kecelakaan kerja menggunakan Fault Tree Analysis,kemudian kuantifikasi nilai Human Error Probability deng

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Nam, Chang-Su, and Byung-Sik Lee. "Development of an Integrated Human Error Simulation Model in Nuclear Power Plant Decommissioning Activities." Science and Technology of Nuclear Installations 2023 (January 12, 2023): 1–13. http://dx.doi.org/10.1155/2023/8133223.

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In this study, an integrated human error simulation model in nuclear power plant (NPP) decommissioning activities (HEISM-DA) that can integrate and manage various factors affecting human errors is developed. In the HEISM-DA, an error probability input method suitable for the characteristics of each performance shaping factors (PSFs) was presented. Because each PSF has different importance on human error, the relative importance of decommissioning PSF Levels 1 and 2 and influential factors is considered. A multiplier was selected for each PSF and then used for human error evaluation. To calcula

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29

Noventya Cahyani, Salma, M. Tutuk Safirin, Dwi Sukma Donoriyanto, and Nur Rahmawati. "Human Error Analysis to Minimize Work Accidents Using the HEART and SHERPA Methods at PT. Wonojati Wijoyo." PROZIMA (Productivity, Optimization and Manufacturing System Engineering) 6, no. 1 (2022): 48–59. http://dx.doi.org/10.21070/prozima.v6i1.1569.

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PT Wonojati Wijoyo is a company that produces furniture for export. In carrying out the production process, work accidents often occur. One of the causes is the factor of human negligence. Work accidents that have occurred include torn wounds due to being hit by a machine, legs hit by wood to make them swollen, fingers hit by machines to open wounds, fingers caught in blocks to open wounds. This study aims to determine the value of Human Error Probability (HEP) and recommend improvement strategies for activities that have the potential to cause human errors to minimize work accidents. The meth

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Prasad, Mahendra, and A. J. Gaikwad. "Human error probability estimation by coupling simulator data and deterministic analysis." Progress in Nuclear Energy 81 (May 2015): 22–29. http://dx.doi.org/10.1016/j.pnucene.2015.01.008.

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31

Lee, Seung Jun, Jaewhan Kim, and Wondea Jung. "Quantitative estimation of the human error probability during soft control operations." Annals of Nuclear Energy 57 (July 2013): 318–26. http://dx.doi.org/10.1016/j.anucene.2013.02.018.

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32

Karthick, M., C. Senthil Kumar, and T. Paul Robert. "BAYES-HEP: Bayesian belief networks for estimation of human error probability." Life Cycle Reliability and Safety Engineering 6, no. 3 (2017): 187–97. http://dx.doi.org/10.1007/s41872-017-0026-4.

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33

Can, Gülin Feryal. "Implementation of Heart and Dematel Integration to Steam Boiler Working Process." Ergonomics International Journal 5, no. 2 (2021): 1–17. http://dx.doi.org/10.23880/eoij-16000269.

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Human Error Assessment and Reduction Technique (HEART) is a practical and powerful approach to prioritize errors related to human actions, based on probabilities. HEART can determine error producing conditions (EPCs) which cause human errors for different processes including main duties (MDs) and sub-duties (SDs). HEART can be applied quickly for any process where human reliability is important. In this study, HEART and advanced version of Decision Making Trial and Evaluation Laboratory (AV-DEMATEL) integration proposed by Can and Delice in 2018 was performed for evaluating human related error

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34

Ratriwardhani, Ratna Ayu, and Friska Ayu. "PENILAIAN PROBABILITAS HUMAN ERROR DI INDUSTRI TAMBANG BATUBARA." Medical Technology and Public Health Journal 5, no. 1 (2021): 66–74. http://dx.doi.org/10.33086/mtphj.v5i1.1825.

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Based on data from the Health and Safety Executive, it can be concluded that as many as 90% of accidents are caused by human error. Coal mining is an industry that has a high risk of work accidents. If the mining process is not following procedures, then lives will be at stake. Human error probability assessment needs to be done because most accidents that occur in coal mining are caused by human error. HRA (Human Reliability Analysis) is part of the risk assessment process which aims to calculate the HEP value. HRA has been used in many studies to assess the risks involved in large, complex,

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Nurdiawati, Annisya Arumy, Lukman Handoko, Am Maisarah Disrinama, et al. "Human error probability analysis of overhead crane operation in steel fabrication company using SLIM-DEMATEL-ANP method." MATEC Web of Conferences 204 (2018): 05012. http://dx.doi.org/10.1051/matecconf/201820405012.

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The accident record from a steel fabrication company in 2014-2017 shows that the most frequent accidents take place in overhead crane operation with a percentage of 42%. The overhead crane operation has the greatest potential of accidents with human error as the main cause. The purpose of this study is to determine what factors affect the occurrence of errors, to know how much HEPs, and to determine recommendations. The method used in this research is Success Likelihood Index Method (SLIM) with qualitative development using Decision Making Trial and Evaluation Laboratory (DEMATEL) which aims t

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Utama, As Shiddiq Putra, Willy Tambunan, and Lina Dianati Fathimahhayati. "Analisis Human Error pada Proses Produksi Keramik dengan Menggunakan Metode HEART dan SHERPA." Jurnal INTECH Teknik Industri Universitas Serang Raya 6, no. 1 (2020): 12–22. http://dx.doi.org/10.30656/intech.v6i1.2114.

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Unit Pelaksana Teknis Dinas Pusat Pengembangan Koperasi dan Usaha Kecil Menengah Kota Samarinda melakukan proses produksi untuk membantu masyarakat memenuhi kebutuhan produk tanpa harus memesan keluar pulau. UPTD P2KUKM mempunyai empat workshop, salah satunya workshop keramik, Workshop keramik memproduksi dua jenis yaitu earthenware dan stoneware. Proses produksi keramik dilakukan dengan mengandalkan tenaga manusia. Penelitian ini bertujuan mengidentifikasi human error yang terjadi pada proses produksi dan memberikan rekomendasi perbaikan untuk meminimalkan human error yang terjadi. Penelitian

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37

Hartomo, Hartomo, and Asih Setyorini. "ANALISIS HUMAN REABILITY DAN PERBAIKAN PROSES PENGOLAHAN GULA RAFINASI." Journal of Industrial Engineering Management 4, no. 2 (2019): 1–10. http://dx.doi.org/10.33536/jiem.v4i2.446.

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In Indonesia sugar needs is very significant along with the population, food and beverage industries, so the sugar industry is required to provide quality products. Determination of standardization of sugar quality in processing is influecend by machine conditions and human reability. This studyaims to analyze human error inrefiend sugar processing and determine recommedations for improvements neede to improve human reability in refined sugar processing. The methodused in this study is the Human Error Assesment and Reduction Techiue (HEART) and Human Error Reduction and Prediction Approach (SH

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Song, Shiji, Yanshang Gong, Yuli Zhang, Gao Huang, and Guang-Bin Huang. "Dimension Reduction by Minimum Error Minimax Probability Machine." IEEE Transactions on Systems, Man, and Cybernetics: Systems 47, no. 1 (2017): 58–69. http://dx.doi.org/10.1109/tsmc.2016.2563395.

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Susilo, Mitasya. "HUMAN ERROR IDENTIFICATION IN BUS DRIVER WORK USING SHERPA AND HEART." Journal of Industrial Engineering Management 5, no. 2 (2020): 62–69. http://dx.doi.org/10.33536/jiem.v5i2.730.

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Traffic accidents, especially with a large capacity such as bus, can be caused by several factors. According to the Indonesian Directorate General of Land Transportation of the Ministry of Transportation in 2012, the factors causing traffic accidents in Indonesia are a human factor of 93.52%, vehicle factor by 2.76%, road factor 3.23%, and environmental factor by 0.49%. Therefore, research is needed to identify which human error has the greatest probability of accident cause using Systematic Human Error Reduction and Prediction Approach (SHERPA) method to identify job desk using Hierarchical T

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Catelani, Marcantonio, Lorenzo Ciani, Giulia Guidi, and Gabriele Patrizi. "Human error probability estimation for safety and diagnostic systems in railway engineering." Measurement: Sensors 18 (December 2021): 100105. http://dx.doi.org/10.1016/j.measen.2021.100105.

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Khan, Faisal I., Paul R. Amyotte, and Dean G. DiMattia. "HEPI: A new tool for human error probability calculation for offshore operation." Safety Science 44, no. 4 (2006): 313–34. http://dx.doi.org/10.1016/j.ssci.2005.10.008.

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42

Cho, Jaehyun, Yochan Kim, Jaewhan Kim, Jinkyun Park, and Dong-San Kim. "Realistic estimation of human error probability through Monte Carlo thermal-hydraulic simulation." Reliability Engineering & System Safety 193 (January 2020): 106673. http://dx.doi.org/10.1016/j.ress.2019.106673.

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43

Sun, Yanhao, Qi Zhang, Zhiming Yuan, Ying Gao, and Shuxin Ding. "Quantitative Analysis of Human Error Probability in High-Speed Railway Dispatching Tasks." IEEE Access 8 (2020): 56253–66. http://dx.doi.org/10.1109/access.2020.2981763.

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Di Bona, Gianpaolo, Domenico Falcone, Antonio Forcina, Filippo De Carlo, and Luca Silvestri. "Quality Checks Logit Human Reliability (LHR): A New Model to Evaluate Human Error Probability (HEP)." Mathematical Problems in Engineering 2021 (April 9, 2021): 1–12. http://dx.doi.org/10.1155/2021/6653811.

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In the years, several approaches for human reliability analysis (HRA) have been developed. The aim of the present research is to propose a hybrid model to evaluate Human Error Probability (HEP). The new approach is based on logit-normal distribution, Nuclear Action Reliability Assessment (NARA), and Performance Shaping Factors (PSFs) relationship. In the research, shortcomings related to literature approaches are analyzed, especially the limitations of the working time. For this reason, PSFs after 8 hours (work standard) during emergency conditions were estimated. Therefore, the correlation be

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45

Richards, Brandon D. "Error Probabilities and Relationships in Assembly and Maintenance of Aircraft Engines." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 62, no. 1 (2018): 1599–603. http://dx.doi.org/10.1177/1541931218621361.

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Aircraft engine maintenance errors recorded during commercial revenue operation (field operation) share common causes and outcomes as those documented in original equipment manufacturer (OEM) and maintenance repair and overhaul (MRO) facilities. Utilizing data from one or more one of these sources can increase the understanding of skill-based, decision and perceptual errors occurring during assembly, operation and maintenance. The null hypothesis in this descriptive, explanatory research is: the nominal human error probability of removing and replacing a specified line replaceable unit (LRU)/c

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46

Ghasemi, Fakhradin, Mohammad Babamiri, and Zahra Pashootan. "A comprehensive method for the quantification of medication error probability based on fuzzy SLIM." PLOS ONE 17, no. 2 (2022): e0264303. http://dx.doi.org/10.1371/journal.pone.0264303.

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Medication errors can endanger the health and safety of patients and need to be managed appropriately. This study aimed at developing a new and comprehensive method for estimating the probability of medication errors in hospitals. An extensive literature review was conducted to identify factors affecting medication errors. Success Likelihood Index Methodology was employed for calculating the probability of medication errors. For weighting and rating of factors, the Fuzzy multiple attributive group decision making methodology and Fuzzy analytical hierarchical process were used, respectively. A

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Russo, Andrea, Lea Vojković, Filip Bojic, and Rosanda Mulić. "The Conditional Probability for Human Error Caused by Fatigue, Stress and Anxiety in Seafaring." Journal of Marine Science and Engineering 10, no. 11 (2022): 1576. http://dx.doi.org/10.3390/jmse10111576.

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Human error caused by the interaction and effect of fatigue, stress and anxiety in seafarers is the subject of this research. The human element is a major part of the maritime system. We used Bayesian networks to predict human error in maritime affairs by analysing interactions between people, technology, organisational and environmental factors which make up the specificity of the maritime system. Bayesian networks are graphical structures developed to represent the conditional dependencies among a number of variables and to make conditional conclusions related to the selected variables. Thro

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Caputo, Antonio Casimiro, Pacifico Marcello Pelagagge, and Paolo Salini. "Modeling errors in parts supply processes for assembly lines feeding." Industrial Management & Data Systems 117, no. 6 (2017): 1263–94. http://dx.doi.org/10.1108/imds-08-2016-0333.

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Purpose The purpose of this paper is to develop a quantitative model to assess probability of errors and errors correction costs in parts feeding systems for assembly lines. Design/methodology/approach Event trees are adopted to model errors in the picking-handling-delivery-utilization of materials containers from the warehouse to assembly stations. Error probabilities and quality costs functions are developed to compare alternative feeding policies including kitting, line stocking and just-in-time delivery. A numerical case study is included. Findings This paper confirms with quantitative evi

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Zetli, Sri. "Analisis Human Error dengan Pendekatan Metode SHERPA dan HEART pada Produksi Batu Bata UKM Yasin." Jurnal INTECH Teknik Industri Universitas Serang Raya 7, no. 2 (2021): 147–56. http://dx.doi.org/10.30656/intech.v7i2.3934.

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Kesalahan kerja yang terjadi banyak diakibatkan oleh manusia itu sendiri yang disebut dengan human error. Human error yang sering terjadi dalam kegiatan produksi bisa merugikan perusahaan dalam mewujudkan efektivitas dan efisiensi produksi. Oleh karena itu maka perlu dilakukan perbaikan performansi pekerja untuk mengurangi seringnya terjadi kesalahan kerja. Beberapa metode dalam mengidentifikasi human error diantaranya metode SHERPA dan HEART. SHERPA suatu metode kualitatif dalam menganalisis human error yang menjadikan task level sebagai dasar inputnya. Sedangkan HEART adalah metode dalam men

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Safitri, Dian Mardi, Ayu Rachma Astriaty, and Nataya C. Rizani. "Human Reliability Assessment dengan Metode Human Error Assessment and Reduction Technique pada Operator Stasiun Shroud PT. X." Jurnal Rekayasa Sistem Industri 4, no. 1 (2017): 1. http://dx.doi.org/10.26593/jrsi.v4i1.1388.1-7.

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Human realibility is a big tricky problem. Human failure rates depend on three main factors, namely<br />intrinsic, work environment, and stress. PT. X is a supplier for PT. LG Indonesia manufacturing products<br />made from plastics. Human Realibility Assesment is conducted using HEART methods (Human Error<br />Assessment and Reduction Technique). In the first phase, task analysis on operators’ activities is done using<br />Hierarchical Task Analysis (HTA). The largest Human Error Probability was found when Operator No. 1<br />did not insert the flash side carefu

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